
  ___  ____  ____  ____  ____ (R)
 /__    /   ____/   /   ____/
___/   /   /___/   /   /___/   15.1   Copyright 1985-2017 StataCorp LLC
  Statistics/Data Analysis            StataCorp
                                      4905 Lakeway Drive
     MP - Parallel Edition            College Station, Texas 77845 USA
                                      800-STATA-PC        http://www.stata.com
                                      979-696-4600        stata@stata.com
                                      979-696-4601 (fax)

32-user 64-core Stata network perpetual license:
       Serial number:  501506200495
         Licensed to:  Harvard-MIT Data Center
                       Cambridge, MA

Notes:
      1.  Stata is running in batch mode.
      2.  Unicode is supported; see help unicode_advice.
      3.  More than 2 billion observations are allowed; see help obs_advice.
      4.  Maximum number of variables is set to 5000; see help set_maxvar.

. do "dofiles/9_table_A5.do" 

. /****************************************************************************
> *****************************
> Replication Files for Housing Discrimination and the Toxics Exposure Gap in t
> he United States: 
> Evidence from the Rental Market  by Peter Christensen, Ignacio Sarmiento-Barb
> ieri and Christopher Timmins
> *****************************************************************************
> ****************************/
. 
. 
. clear all

. set matsize 11000

. 
. use "../stores/toxic_discrimination_data.dta"

. 
. 
. keep if sample==1
(801 observations deleted)

. 
. *****************************************************************************
> *******************
. * Balance Statistics
. *****************************************************************************
> *******************
. gen first=(order==1)

. gen second=(order==2)

. gen third=(order==3)

. gen Mon=(inquiry_weekday==3)

. gen Tue=(inquiry_weekday==7)

. gen Wed=(inquiry_weekday==8)

. gen Thurs=(inquiry_weekday==6)

. gen Fri=(inquiry_weekday==2)

. gen Male=(gender==2)

. gen Female=(gender==1)

. gen Low=(education_level==2)

. gen Medium=(education_level==3)

. gen High=(education_level==1)

. 
. ************************************************************
. * Panel A
. ************************************************************
. 
. est clear

. foreach i in first second third {
  2.   eststo: disc_boot `i' Hispanic Black 
  3.   estimates store model`i'
  4. 
. }

Iteration 0:   log pseudolikelihood = -2461.3349  
Iteration 1:   log pseudolikelihood = -2461.1179  
Iteration 2:   log pseudolikelihood = -2461.1179  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      6,723
                                                Wald chi2(2)      =       7.08
                                                Prob > chi2       =     0.0291
Log pseudolikelihood = -2461.1179               Pseudo R2         =     0.0004

                              (Std. Err. adjusted for 14 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
       first |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |  -.0315816   .0160786    -1.96   0.050    -.0580286   -.0051345
       Black |  -.0683454   .0309777    -2.21   0.027    -.1192991   -.0173917
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |  -.0315816   .0160731    -1.96   0.071     -.060046   -.0031172
       Black |  -.0683454   .0306922    -2.23   0.044    -.1226993   -.0139915
------------------------------------------------------------------------------
(est1 stored)

Iteration 0:   log pseudolikelihood = -2461.3877  
Iteration 1:   log pseudolikelihood =  -2461.186  
Iteration 2:   log pseudolikelihood =  -2461.186  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      6,723
                                                Wald chi2(2)      =       4.35
                                                Prob > chi2       =     0.1136
Log pseudolikelihood =  -2461.186               Pseudo R2         =     0.0003

                              (Std. Err. adjusted for 14 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
      second |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |  -.0313164   .0311554    -1.01   0.315    -.0825625    .0199297
       Black |   .0342589   .0248254     1.38   0.168    -.0065752    .0750931
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |  -.0313164   .0310774    -1.01   0.332    -.0863524    .0237197
       Black |   .0342589   .0248461     1.38   0.191    -.0097418    .0782597
------------------------------------------------------------------------------
(est2 stored)

Iteration 0:   log pseudolikelihood = -2461.4336  
Iteration 1:   log pseudolikelihood = -2461.2492  
Iteration 2:   log pseudolikelihood = -2461.2492  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      6,723
                                                Wald chi2(2)      =       6.05
                                                Prob > chi2       =     0.0486
Log pseudolikelihood = -2461.2492               Pseudo R2         =     0.0003

                              (Std. Err. adjusted for 14 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
       third |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0629813   .0294274     2.14   0.032     .0145775    .1113851
       Black |   .0339938   .0294485     1.15   0.248    -.0144447    .0824322
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0629813   .0292003     2.16   0.050     .0112694    .1146932
       Black |   .0339938   .0293288     1.16   0.267    -.0179456    .0859332
------------------------------------------------------------------------------
(est3 stored)

. 
. 
. ************************************************************
. * Panel B
. ************************************************************
. 
. foreach i in Mon Tue Wed Thurs Fri {
  2.   eststo: disc_boot `i' Hispanic Black 
  3.   estimates store model`i'
  4. 
. }
note: multiple positive outcomes within groups encountered.
note: 1,322 groups (3,966 obs) dropped because of all positive or
      all negative outcomes.

Iteration 0:   log pseudolikelihood =   -1009.37  
Iteration 1:   log pseudolikelihood = -1009.2925  
Iteration 2:   log pseudolikelihood = -1009.2925  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      2,757
                                                Wald chi2(2)      =       2.52
                                                Prob > chi2       =     0.2843
Log pseudolikelihood = -1009.2925               Pseudo R2         =     0.0003

                              (Std. Err. adjusted for 10 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
         Mon |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   -.054981   .0442182    -1.24   0.214    -.1277135    .0177515
       Black |  -.0583042   .0531521    -1.10   0.273    -.1457316    .0291232
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   -.054981   .0439317    -1.25   0.242    -.1355127    .0255507
       Black |  -.0583042   .0527455    -1.11   0.298    -.1549928    .0383843
------------------------------------------------------------------------------
(est4 stored)
note: multiple positive outcomes within groups encountered.
note: 1,430 groups (4,290 obs) dropped because of all positive or
      all negative outcomes.

Iteration 0:   log pseudolikelihood = -890.94755  
Iteration 1:   log pseudolikelihood =    -890.94  
Iteration 2:   log pseudolikelihood =    -890.94  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      2,433
                                                Wald chi2(2)      =       0.12
                                                Prob > chi2       =     0.9431
Log pseudolikelihood =    -890.94               Pseudo R2         =     0.0000

                              (Std. Err. adjusted for 12 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
         Tue |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0148636   .0613996     0.24   0.809    -.0861297     .115857
       Black |   .0222206   .0650925     0.34   0.733     -.084847    .1292882
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0148636   .0613635     0.24   0.813    -.0953382    .1250655
       Black |   .0222206   .0650552     0.34   0.739     -.094611    .1390523
------------------------------------------------------------------------------
(est5 stored)
note: multiple positive outcomes within groups encountered.
note: 1,393 groups (4,179 obs) dropped because of all positive or
      all negative outcomes.

Iteration 0:   log pseudolikelihood = -931.52626  
Iteration 1:   log pseudolikelihood =  -931.5021  
Iteration 2:   log pseudolikelihood =  -931.5021  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      2,544
                                                Wald chi2(2)      =       0.78
                                                Prob > chi2       =     0.6782
Log pseudolikelihood =  -931.5021               Pseudo R2         =     0.0001

                              (Std. Err. adjusted for 13 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
         Wed |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |  -.0071452   .0585066    -0.12   0.903    -.1033799    .0890895
       Black |   .0316419   .0380728     0.83   0.406    -.0309822    .0942661
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |  -.0071452   .0584864    -0.12   0.905    -.1113848    .0970944
       Black |   .0316419   .0381475     0.83   0.423    -.0363479    .0996318
------------------------------------------------------------------------------
(est6 stored)
note: multiple positive outcomes within groups encountered.
note: 1,498 groups (4,494 obs) dropped because of all positive or
      all negative outcomes.

Iteration 0:   log pseudolikelihood = -815.91449  
Iteration 1:   log pseudolikelihood = -815.80247  
Iteration 2:   log pseudolikelihood = -815.80247  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      2,229
                                                Wald chi2(2)      =       2.81
                                                Prob > chi2       =     0.2456
Log pseudolikelihood = -815.80247               Pseudo R2         =     0.0006

                              (Std. Err. adjusted for 11 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
       Thurs |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   -.067678   .0762287    -0.89   0.375     -.193063     .057707
       Black |   -.080083   .0544516    -1.47   0.141    -.1696479    .0094818
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   -.067678    .076409    -0.89   0.397    -.2061663    .0708102
       Black |   -.080083   .0553969    -1.45   0.179    -.1804878    .0203217
------------------------------------------------------------------------------
(est7 stored)
note: multiple positive outcomes within groups encountered.
note: 1,048 groups (3,144 obs) dropped because of all positive or
      all negative outcomes.

Iteration 0:   log pseudolikelihood = -1310.1915  
Iteration 1:   log pseudolikelihood = -1310.0655  
Iteration 2:   log pseudolikelihood = -1310.0655  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      3,579
                                                Wald chi2(2)      =       2.04
                                                Prob > chi2       =     0.3608
Log pseudolikelihood = -1310.0655               Pseudo R2         =     0.0004

                              (Std. Err. adjusted for 14 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
         Fri |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0733841   .0528799     1.39   0.165    -.0135955    .1603638
       Black |   .0561228   .0672744     0.83   0.404    -.0545337    .1667793
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0733841   .0522842     1.40   0.184    -.0192076    .1659759
       Black |   .0561228   .0671488     0.84   0.418    -.0627932    .1750388
------------------------------------------------------------------------------
(est8 stored)

. 
. 
. ************************************************************
. * Panel C
. ************************************************************
. 
. foreach i in Male Female Low Medium High {
  2.   eststo: disc_boot `i' Hispanic Black
  3.   estimates store model`i'
  4. 
. }
note: multiple positive outcomes within groups encountered.
note: 567 groups (1,701 obs) dropped because of all positive or
      all negative outcomes.

Iteration 0:   log pseudolikelihood = -1838.0812  
Iteration 1:   log pseudolikelihood = -1837.9567  
Iteration 2:   log pseudolikelihood = -1837.9567  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      5,022
                                                Wald chi2(2)      =       4.15
                                                Prob > chi2       =     0.1255
Log pseudolikelihood = -1837.9567               Pseudo R2         =     0.0006

                              (Std. Err. adjusted for 14 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
        Male |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |  -.0896358   .0603409    -1.49   0.137    -.1888877    .0096161
       Black |  -.0447855   .0598857    -0.75   0.455    -.1432887    .0537177
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |  -.0896358   .0603124    -1.49   0.161     -.196445    .0171735
       Black |  -.0447855   .0598706    -0.75   0.468    -.1508124    .0612414
------------------------------------------------------------------------------
(est9 stored)
note: multiple positive outcomes within groups encountered.
note: 567 groups (1,701 obs) dropped because of all positive or
      all negative outcomes.

Iteration 0:   log pseudolikelihood = -1838.0812  
Iteration 1:   log pseudolikelihood = -1837.9567  
Iteration 2:   log pseudolikelihood = -1837.9567  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      5,022
                                                Wald chi2(2)      =       4.15
                                                Prob > chi2       =     0.1255
Log pseudolikelihood = -1837.9567               Pseudo R2         =     0.0006

                              (Std. Err. adjusted for 14 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
      Female |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0896358   .0603409     1.49   0.137    -.0096161    .1888877
       Black |   .0447855   .0598857     0.75   0.455    -.0537177    .1432887
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0896358   .0603124     1.49   0.161    -.0171735     .196445
       Black |   .0447855   .0598706     0.75   0.468    -.0612414    .1508124
------------------------------------------------------------------------------
(est10 stored)
note: multiple positive outcomes within groups encountered.
note: 1,035 groups (3,105 obs) dropped because of all positive or
      all negative outcomes.

Iteration 0:   log pseudolikelihood = -1323.4826  
Iteration 1:   log pseudolikelihood = -1323.2898  
Iteration 2:   log pseudolikelihood = -1323.2898  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      3,618
                                                Wald chi2(2)      =       3.45
                                                Prob > chi2       =     0.1786
Log pseudolikelihood = -1323.2898               Pseudo R2         =     0.0012

                              (Std. Err. adjusted for 10 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
         Low |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0517878   .0715629     0.72   0.469    -.0659227    .1694982
       Black |  -.0753028   .0478297    -1.57   0.115    -.1539756    .0033699
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0517878   .0716365     0.72   0.488    -.0795301    .1831056
       Black |  -.0753028   .0476857    -1.58   0.149    -.1627161    .0121104
------------------------------------------------------------------------------
(est11 stored)
note: multiple positive outcomes within groups encountered.
note: 716 groups (2,148 obs) dropped because of all positive or
      all negative outcomes.

Iteration 0:   log pseudolikelihood =  -1672.544  
Iteration 1:   log pseudolikelihood = -1672.1773  
Iteration 2:   log pseudolikelihood = -1672.1773  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      4,575
                                                Wald chi2(2)      =       2.53
                                                Prob > chi2       =     0.2829
Log pseudolikelihood = -1672.1773               Pseudo R2         =     0.0019

                              (Std. Err. adjusted for 14 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
      Medium |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0604867   .0513811     1.18   0.239    -.0240276    .1450011
       Black |  -.0972672   .0645419    -1.51   0.132    -.2034292    .0088949
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |   .0604867   .0515197     1.17   0.261    -.0307513    .1517247
       Black |  -.0972672   .0640314    -1.52   0.153    -.2106624    .0161281
------------------------------------------------------------------------------
(est12 stored)
note: multiple positive outcomes within groups encountered.
note: 714 groups (2,142 obs) dropped because of all positive or
      all negative outcomes.

Iteration 0:   log pseudolikelihood = -1670.0812  
Iteration 1:   log pseudolikelihood = -1669.0422  
Iteration 2:   log pseudolikelihood = -1669.0421  

Conditional (fixed-effects) logistic regression

                                                Number of obs     =      4,581
                                                Wald chi2(2)      =       7.10
                                                Prob > chi2       =     0.0288
Log pseudolikelihood = -1669.0421               Pseudo R2         =     0.0051

                              (Std. Err. adjusted for 14 clusters in Zip_Code)
------------------------------------------------------------------------------
             |               Robust
        High |      Coef.   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |  -.1045943   .1049337    -1.00   0.319    -.2771949    .0680064
       Black |   .1528725   .0603965     2.53   0.011     .0535291    .2522158
------------------------------------------------------------------------------
cluster(Zip_Code)Zip_Codecluster(Zip_Code)Zip_Code

Bootstrap Corrected Estimates
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      t    P>|t|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
    Hispanic |  -.1045943   .1034496    -1.01   0.330    -.2877966    .0786081
       Black |   .1528725   .0615938     2.48   0.028     .0437939    .2619511
------------------------------------------------------------------------------
(est13 stored)

. 
. 
. 
. 
. ************************************************************
. * estout Panel A
. ************************************************************
. 
. 
. 
. #delimit ; 
delimiter now ;
. esttab modelfirst 
>        modelsecond 
>        modelthird
>        using "../views/tableA5.tex", 
>        style(tex) 
>        cells(b(star fmt(4)) se(par fmt(4)))
>        label 
>        noobs
>        mlabels(,none)  
>        nonumbers 
>        collabels(,none) 
>        eqlabels(,none)
>        varlabels(Black "African American"
>                  Hispanic "Hispanic/LatinX") 
>        starl(* 0.1 ** 0.05 *** 0.01)   
>        keep( Black Hispanic )              
>        order( Black Hispanic )
>        level(90)     
>        prehead( 
>                 \begin{table}[H]
>                 \scriptsize \centering
>                 \begin{threeparttable}
>                 \captionsetup{justification=centering}
>                 \caption{Balance Statistics}
>                 \label{tab:balance}
> 
>                 \begin{tabular}{@{\extracolsep{5pt}}lccccc}
>                 \\[-1.8ex]\hline
>                 \hline \\[-1.8ex]
>                  &  (1) & (2) & (3) & (4) & (5) \\
>                  \cline{2-6}
>                  \multicolumn{6}{c}{\textit{Panel A: {\it  Inquiry Order}}} \
> \
>                  \hline \\[-1.8ex] 
>                  & First & Second & Third & & \\
>        )
>        posthead() 
>       prefoot() 
>        postfoot(
>             \\[-1.8ex]\hline 
>       \hline \\[-1.8ex] )
>        
>        replace;
(output written to ../views/tableA5.tex)

. #delimit cr
delimiter now cr
. 
. ************************************************************
. * estout Panel B
. ************************************************************
. 
. #delimit ; 
delimiter now ;
. esttab modelMon 
>        modelTue 
>        modelWed 
>        modelThurs 
>        modelFri
>        using "../views/tableA5.tex", 
>        style(tex) 
>        level(90)
>        cells(b(star fmt(4)) se(par fmt(4)))
>        label 
>        noobs
>        mlabels(,none)
>        nonumbers 
>        collabels(,none)      
>        eqlabels(,none)
>        varlabels(Black "African American"
>                  Hispanic "Hispanic/LatinX") 
>        starl(* 0.1 ** 0.05 *** 0.01)   
>        keep( Black Hispanic )              
>        order( Black Hispanic )     
>        prehead( 
>                \multicolumn{6}{c}{\textit{Panel B: Evidence of Differential C
> hoices by Weekday}} \\
>                \hline \\[-1.8ex]
> 
>               \\[-1.8ex] & Monday & Tuesday & Wednesday & Thursday & Friday \
> \ 
>        )
>        posthead() 
>        prefoot() 
>        postfoot(
>             \\[-1.8ex]\hline 
>       \hline \\[-1.8ex] )
>        
>        append;
(output written to ../views/tableA5.tex)

. #delimit cr
delimiter now cr
. 
. 
. ************************************************************
. * estout Panel C
. ************************************************************
. 
. 
. #delimit ; 
delimiter now ;
. esttab modelMale
>        modelFemale
>        modelLow 
>        modelMedium
>        modelHigh
>        using "../views/tableA5.tex", 
>        style(tex) 
>        cells(b(star fmt(4)) se(par fmt(4)))
>        label 
>        noobs
>        mlabels(,none)  
>        nonumbers
>        collabels(,none) 
>        eqlabels(,none)
>        varlabels(Black "African American"
>                  Hispanic "Hispanic/LatinX") 
>        starl(* 0.1 ** 0.05 *** 0.01) 
>        stats(obs
>              listings
>              diff_response, fmt( %9.0gc %9.0gc 2)
>              labels("\hline Observations"
>                    "Listings"
>                    "\% w. diff. response"
>                    ))   
>        keep( Black Hispanic )              
>        order( Black Hispanic )
>        level(90)     
>        prehead( 
>                \multicolumn{6}{c}{\textit{Panel C: Gender and Mother's Educat
> ion Level}} \\
>                \hline \\[-1.8ex]
> 
>                 &   \multicolumn{2}{c}{Gender} &   \multicolumn{3}{c}{Mother'
> s Education } \\
>                 & Male & Female & Low  & Medium   & High  \\ 
>        )
>        posthead() 
>       prefoot() 
>        postfoot(
>             \\[-1.8ex]\hline 
>       \hline \\[-1.8ex] 
>       \end{tabular} 
> 
>       \begin{tablenotes}[scriptsize,flushleft] \scriptsize
>       \item Notes: 
>       \end{tablenotes}
>       \end{threeparttable}
>       \end{table}
>       )
>        
>        append;
(output written to ../views/tableA5.tex)

. #delimit cr
delimiter now cr
. 
. 
. 
. *end 
. 
end of do-file
